Spatial identification and determinants of trade-offs among multiple land use functions in Jiangsu Province, China

中国 地理空间分析 土地整理 地理 环境资源管理 土地利用 比例(比率) 业务 农业 环境规划 环境科学 地图学 土木工程 工程类 考古
作者
Yeting Fan,Le Gan,Changqiao Hong,Laura H. Jessup,Xiaobin Jin,Bryan C. Pijanowski,Yan Sun,Ligang Lv
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:772: 145022-145022 被引量:78
标识
DOI:10.1016/j.scitotenv.2021.145022
摘要

Understanding the relationships among multiple land use functions (LUFs) is crucial for land-based spatial planning that can guide targeted land use policy-making in complex socio-ecological systems. However, few studies concerned the interactions among various LUFs integrating the issues of economy, environment, and society at a fine scale. In this study, we quantified 12 LUFs using a geospatial model and statistical analysis at the grid scale in Jiangsu Province. Then, we identified the relationships among three primary LUFs—agricultural production function (APF), urban-rural living function (ULF), and ecological maintenance function (EMF)—and further explored the determinants of LUF trade-offs aimed to provide a reference for policy-makers to make decisions in future land use planning and management. The results revealed that the high trade-off areas for APF and ULF are mainly distributed in central and northern Jiangsu, and the trade-offs for both APF-EMF and ULF-EMF were higher in the area covered with water and forest. The determinants of LUF trade-offs mainly refers to land use/land cover, potential evapotranspiration, and vegetation coverage ratio. Moreover, landscape configuration metrics and distance to the nearest county and nearest road also have remarkable impacts on the trade-offs of APF-EMF and ULF-EMF. Finally, we proposed that the concepts of LUF trade-offs should be incorporated into the processes of delineating boundaries for urban growth, farmland, and natural areas. We also propose that land consolidation projects should be implemented in an orderly manner to alleviate LUF trade-offs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
量子星尘发布了新的文献求助10
1秒前
1秒前
2秒前
5秒前
6秒前
俏皮诺言完成签到,获得积分10
7秒前
天真蓝天发布了新的文献求助10
12秒前
zhangsenbing完成签到,获得积分10
16秒前
16秒前
汉堡包应助健壮的赛凤采纳,获得10
19秒前
5552222完成签到,获得积分10
21秒前
量子星尘发布了新的文献求助10
22秒前
孙燕应助疯狂的沛蓝采纳,获得10
23秒前
24秒前
完美世界应助害怕的鹏飞采纳,获得10
24秒前
SYLH应助慢半拍采纳,获得10
27秒前
烟花应助宇文数学采纳,获得10
27秒前
111发布了新的文献求助10
27秒前
cctv18应助123采纳,获得10
30秒前
30秒前
31秒前
慢半拍完成签到,获得积分10
32秒前
32秒前
科研通AI5应助1111采纳,获得10
33秒前
上官断缘发布了新的文献求助10
35秒前
38秒前
轻松元柏完成签到,获得积分10
39秒前
xinghhhe完成签到,获得积分10
39秒前
量子星尘发布了新的文献求助10
39秒前
无花果应助沉默的芒果采纳,获得10
40秒前
HEIKU应助zhangsenbing采纳,获得10
40秒前
41秒前
宇文数学发布了新的文献求助10
42秒前
科研通AI2S应助上官断缘采纳,获得10
43秒前
45秒前
要受到80斤完成签到,获得积分10
45秒前
48秒前
甜甜Be完成签到,获得积分10
52秒前
是鸢发布了新的文献求助30
53秒前
洛尘完成签到,获得积分10
53秒前
高分求助中
【提示信息,请勿应助】请使用合适的网盘上传文件 10000
The Oxford Encyclopedia of the History of Modern Psychology 1500
Green Star Japan: Esperanto and the International Language Question, 1880–1945 800
Sentimental Republic: Chinese Intellectuals and the Maoist Past 800
The Martian climate revisited: atmosphere and environment of a desert planet 800
Parametric Random Vibration 800
Building Quantum Computers 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3865274
求助须知:如何正确求助?哪些是违规求助? 3407492
关于积分的说明 10654809
捐赠科研通 3131558
什么是DOI,文献DOI怎么找? 1727175
邀请新用户注册赠送积分活动 832169
科研通“疑难数据库(出版商)”最低求助积分说明 780188